Li Yin is a founder-engineer and AI researcher with a decade of experience building production ML systems and developer tools, currently leading SylphAI as Co-founder & CEO to ship AdaL, a self-evolving CLI coding agent for AI/ML engineers. Previously an AI Research Scientist at Facebook AI, he led data collection/annotation efforts and launched few-shot object detection into production with CVPR-level publications, and has hands-on experience across CV, LLMs and embedding learning from roles at Meta, NVIDIA, JD.com and academia. He’s the author of AdalFlow, an open-source library for composing and optimizing LLM task pipelines, and maintains practical algorithm teaching resources on GitHub that emphasize clear, notebook-driven explanations. Based in San Francisco, he combines research rigor with product focus—mentoring interns to published work while recruiting talented builders to scale the next-gen CLI agent. Notably, his background spans both large-scale industry deployments and teaching-oriented open-source contributions, reflecting a blend of production impact and educational clarity.
A middle-to-high level open source algorithm book designed with coding interview at heart!
Role in this project:
Back-end Developer
Contributions:16 commits, 7 PRs, 178 pushes in 2 years 3 months
Contributions summary:Li's contributions primarily revolve around implementing and documenting algorithms and data structures using Python. The commits show the creation of Jupyter Notebooks covering topics like binary search, sorting algorithms, and fundamental data structures. This indicates a focus on providing clear, well-documented code examples for learning and practical application within the context of the repository's educational goals.
AdalFlow: The library to build & auto-optimize LLM applications.
Contributions:161 reviews, 179 PRs, 495 pushes in 8 months
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